AWS Machine Learning Blog

Have you ever wondered how you can use machine learning (ML) for translation? With our new framework, Sockeye, you can model machine translation (MT) and other sequence-to-sequence tasks. Sockeye, which is built on Apache MXNet, does most of the heavy lifting for building, training, and running state-of-the-art sequence-to-sequence models. In natural language processing (NLP), many […]

Listen to this post Voiced by Amazon Polly This is a guest post by Yiannis Philipopoulos, a Software Developer at Bandwidth. In Yiannis’ words: “Bandwidth’s solutions are shaping the future of how we connect with voice and messaging for mobile apps and large-scale, enterprise-level solutions. At the core of Bandwidth’s business-grade Communications Platform as a […]

To increase the accuracy of speech recognition for conversations over the phone, Amazon Lex now supports telephony audio (8 kHz). You can now employ the same deep learning technology as Amazon Alexa to converse with your applications and fulfill the most common requests. Amazon Lex maintains context and dynamically manages the dialogue, adjusting responses based […]

The Kelley Blue Book Bot allows users to get real-time Kelley Blue Book® Trade-In Value for vehicles using natural language. Users can interact with the chatbot in both voice and text. A simple question like, “Kelley Blue Book, can you tell me the trade-in value for my 2012 Honda Civic?” is all that is needed […]

Note: AWS released Amazon Rekognition Video on November 29, 2017 which is now the preferred approach for analyzing videos and finding distinct people. Nevertheless, we continue to make this blog post available for educational purposes on how to use Amazon Rekognition. Amazon Rekognition makes it easy to detect, search for, and compare faces in images […]

This is a guest post by Michael Wray, senior software architect at Inhealthcare. Founded in 2012, Inhealthcare has created a digital infrastructure which supports remote home monitoring for the entire UK population. Listen to this post Voiced by Amazon Polly   With an aging population that continues to grow, healthcare is being changed forever. Are […]

If you generate machine learning (ML) models, you know that the key challenge is exporting and importing them into other frameworks to separate model generation and prediction. Many applications use PMML (Predictive Model Markup Language) to move ML models from one framework to another. PMML is an XML representation of a data mining model. In […]

As AWS continues to support the Artificial Intelligence (AI) community with contributions to Apache MXNet and the release of Amazon Lex, Amazon Polly, and Amazon Rekognition managed services, we are also expanding our team of AI experts, who have one primary mission: To lower the barrier to AI for all AWS developers, making AI more accessible […]

In the past five years, deep neural networks have solved many computationally difficult problems, particularly in the field of computer vision. Because deep networks require a lot of computational power to train, often using tens of GPUs, many people assume that you can run them only on powerful cloud servers. In fact, after a deep […]

All was well with the world last night. You went to bed thinking about convincing your manager to add some time in the next sprint for much-needed improvements to the recommendation engine for shoppers on your website. The machine learning models are out of date and people are complaining, but no one is looking past […]